Ontology-based Course Teacher Assignment within Universities

Abstract

Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within these institutions aims to reduce human action and replace it with automatic devices interactions. To have the full benefit from these data and use it within the modern systems, they have to be readable and understandable by machines. Those data and knowledge with semantic descriptions make an easy way to monitor and manage decision processes within universities to solve many educational challenges. In this study, an educational ontology is developed to model the semantic courses and academic profiles in universities and use it to solve the challenge of assigning the most appropriate academic teacher to teach a specific course.

Data-driven Decision Making in Higher Education Institutions: State-of-play

“…The studies by Ashour et al [10,44] proposed educational ontology and linked data techniques to support the process for selecting the most appropriate and qualified teacher for a new course. The ontology summarizes the long steps of mapping course content and faculty member profiles, while the linked data technique generates a link between university semantic data and research data from online libraries.…”

“…Ashour [44] offers an educational ontology that governing bodies can follow when selecting the most appropriate and qualified teacher for a new course. The ontology summarizes the long steps of mapping course content and faculty member profiles.…”